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You are here: Home / Blog

Don’t Do That, You’ll Get In Trouble!

Last Updated: October 15, 2025

https://www.prospectgenius.com/wp-content/uploads/2025/10/dont-dig-hole-friend.mp4

Why “Make My Site Better” Is the Wrong Way to Use AI

Last Updated: October 14, 2025

Leer en español

Artificial intelligence has become a go-to tool for everything from writing blog posts to finding local businesses. It’s like internet duct tape…fast, easy, and feels like the kind of magic every small business owner could use more of.

But we’re seeing a growing trend that’s setting people up for disappointment: pasting your website’s URL into ChatGPT and asking it to “make it better.”

This is actually a symptom of a larger problem. There’s a massive difference between what people THINK ChatGPT can do, and what it actually CAN do. ChatGPT, like Gemini, Grok, and others, are LLMs (Large Language Models). The simplest way to describe what they do is that they guess the next most-probable word and use that to build responses to your questions. There’s no super-intelligent being behind it… it’s just word-guessing on steroids.

There are things that AI (specifically LLMs) is great at, but those tend to be very narrow use cases with specific parameters. And in those specific cases, it’s a very powerful tool. But if you venture even just a little outside of those narrowly defined cases, you’ll find frustration, disappointment, and very misleading information abound.

The Mistake We Keep Seeing

To continue with our example of the website, let’s be blunt: dropping your website into AI and asking it to “improve it” doesn’t work. Not because AI is bad, but because that’s not how it’s meant to be used, and therefore not what it’s been trained to do.

When you paste your site’s URL and ask a vague question like “How can this be better?” here’s what happens:

  • You give the AI a vague instruction with no context.
  • You ask a LLM (Large Language Model) to perform a task that it was never intended to perform.
  • It looks at all the text it’s ever seen related to your topic and then decides the most probable words to spit back at you.
  • You get back a mix of generic suggestions that don’t necessarily apply to your business and situation.

Worse, AI is programmed to always respond, and do so confidently, even when it doesn’t really understand what it’s looking at. So the advice might sound confident but be flat-out wrong or even contradict itself.

If you’ve done this and felt underwhelmed by the results, you’re not alone. But don’t give up on AI, just learn to use it the right way, and for the things that it’s good at.

Prompting Is an Art and a Science

The difference between a helpful AI experience and a frustrating one almost always comes down to how you prompt it.

People who get great results aren’t just lucky, they know how to write specific, detailed prompts. They treat AI like a smart but inexperienced assistant. It needs direction.

For example:

  • Weak prompt: “Write a blog post.”
  • Stronger prompt:<task>Write a blog post</task>
    <topic>Preventative drain maintenance</topic>
    <business>Residential plumber in Chicago</business>
    <audience>Middle-income homeowners living in Illinois, age 35-60</audience>
    <goal>Show how regular drain cleanings prevent costly repairs</goal>
    <tone>Friendly and professional at a 12th grade reading level</tone>
    <cta>Encourage scheduling a service appointment</cta>

This may seem like overkill, but giving AI this level of clarity is what turns vague results into something you can actually use.

It’s a Process, Not a One-and-Done

Another issue with the “make this better” mindset is that it treats AI like a vending machine: put in a request, get a polished result.

That’s not how it works.

AI is more like a writing partner, editor, or assistant. You go back and forth. You ask for changes. You tweak it until it’s right. When we use AI to draft blog posts, we might go through 10 or more iterations before we land on something usable.

If you expect to paste your site into AI and get a brilliant new version in one step, you’re going to be disappointed. But if you’re willing to collaborate with the tool, it can absolutely help you move faster and get better results.

Think of AI Like a Teenager (For Now)

One way to think about today’s AI is to compare it to human development.

Earlier AI tools were like toddlers, repeating things but not understanding them. Current tools like ChatGPT are closer to a smart high schooler: they can write essays, summarize information, and hold a decent conversation. But they lack real-world experience, nuance, and judgment.

So when you ask AI to “improve your website,” you’re effectively handing a 15-year-old your marketing and saying, “Go figure it out.” 15-year-olds can be effective at menial tasks, but absolutely no one is hiring them to be a director, strategist, or CEO.

If you give it guidance, it can help. But if you expect mature, strategic decisions? You’re going to run into trouble.

What AI Can (and Can’t) Do Well

AI is powerful, but not all-purpose. Here’s where it actually shines, and where it doesn’t.

What It’s Good At:

  • Content creation: Drafting blog posts, ads, or emails, especially when you provide key points.
  • Repetitive tasks: Writing meta descriptions, summarizing reviews, cleaning or reformatting data.
  • Visual assets: Simple graphics or social images with tools like DALL·E or Midjourney.
  • Spreadsheet help: Writing or fixing Excel formulas and explaining them clearly.
  • Troubleshooting electronics: Wi-Fi issues, smart device setup, etc.

Where It Struggles:

  • Original thinking: It remixes patterns, it doesn’t invent.
  • Strategic judgment: It doesn’t know your goals, audience, or brand.
  • Contextual consistency: It has a hard time staying on-brand or visually consistent.
  • Factual accuracy: It often guesses when it doesn’t know, and sounds confident doing it.

Quick Reference: What to Use AI For (And What Not To)

✅ Good Use Cases ❌ Where It Falls Short
Writing blog posts or emails Strategic planning or business consulting
Creating social media captions Making decisions without your input
Fixing or writing Excel formulas Complex financial modeling or forecasting
Generating simple graphics or images Consistent visuals across a full brand package
Troubleshooting tech or electronics Understanding physical limitations (space, wiring, etc.)
Drafting website copy or ads Designing full websites without context
Summarizing reviews or survey data Giving legal, financial, or compliance advice
Brainstorming marketing ideas Verifying facts or statistics reliably

Final Thoughts

We love AI. We use it every day. But we’ve also seen too many people get misled by the idea that AI is a silver bullet, especially when they’re dropping in a whole website and expecting miracle advice from a vague prompt.

If you want to get real value out of these tools, you need to treat them like what they are: powerful assistants, not instant experts. Guide them. Iterate. Get specific.

And whatever you do, don’t just paste in your homepage and ask ChatGPT to “make it better.” You deserve better than the advice it’ll give you.

 

 

AI & Website Improvement FAQs


Asking AI to “make my site better” is too vague. LLMs work by predicting likely words based on training data—not by understanding your goals, audience, or brand. The result is often generic suggestions that don’t apply to your situation.


A strong prompt includes specificity and context. For example: <task>, <topic>, <business type>, <audience>, <tone>, <goal>, and <call to action>. These details guide the AI toward useful, relevant outputs.


No. AI works best as a collaborator through iteration. You’ll rewrite, refine, and adjust the output over several rounds to arrive at something accurate, on‑brand, and usable.


AI excels at tasks like drafting blog posts or emails (with guidance), writing meta descriptions, summarizing content, reformatting or cleaning text, simple graphic generation, and spreadsheet or data support.


AI struggles with original strategic insight, detailed brand consistency, factual certainty (it may hallucinate), and understanding nuances of your unique business or audience. It might confidently output incorrect or contradictory content.


Treat AI like an assistant or junior collaborator—not a final authority. Guide it with clear prompts, review and edit its output, and use it to accelerate your work rather than to replace human decision‑making.

Inflatable Costume Prank

Last Updated: October 7, 2025

https://www.prospectgenius.com/wp-content/uploads/2025/10/mean-but-funny.mp4

Don’t Let AI Agents Book Your Competitors’ Jobs Before Yours

Last Updated: October 7, 2025

Leer en español

AI Is Already Changing How Customers Find You, Agents Are Next

ChatGPT, Gemni, and other AI tools are already helping your customers find and select service-providers. As we’ve previously discussed, these AI tools are not just writing emails and spitting out dinner recipes. They’re researching options, comparing reviews, and suggesting the top 1-5 best matches to the user (Sorry, no more top-10 game).

Soon, the user will no longer need to be involved. That’s because of what’s called “AI agents.” In short, it means a user just has to make his/her wishes known, and the AI will find, book, and pay for the desired service…all by itself!  We’re not talking about 2035. This is going to start affecting you as soon as next year!

Gartner Inc. predicts that:

  • Search engine volume will drop 25% by 2026
  • 40% of enterprise apps will integrate task-specific AI agents by 2026.
  • 15% of all routine business decisions will be autonomously made by AI agents by 2028.
  • 50% of all business decisions will be AI-augmented or automated by 2027.

If your business isn’t AI-ready, you’re about to be invisible. But there’s a low-cost, low-effort way to avoid being slammed by this tidal wave…’

How AI Tools Work Now, and What Agents Will Demand

Today, customers ask AI like ChatGPT or Grok, “Find me a plumber in Dallas.” It scans:

  • Reviews: High ratings (4.5+ stars, 50+ recent) win trust. Stale or fake reviews? You’re out.
  • Google Business Profile (GBP): Your digital signpost. Missing hours or photos? AI ignores you.
  • Website Structure: Vague “services” page? AI can’t parse it. Clear pages like “Emergency Plumbing in Dallas” with schema markup? You’re in.
  • Trust Signals: FAQs answering “Are you licensed?” or “How fast can you fix my AC?” build credibility.

When agents arrive (likely next year), they’ll lean harder on these signals, prioritizing structured data and trust. Early adopters (e.g., a Seattle electrician with service-specific pages) report 35% more AI-driven leads already.

It’s important to remember that AI Agents don’t care about non-quantifiable, real-world things like reputation and word-of-mouth. They don’t have the discernment and wisdom of a human so they rely on things that can be calculated. They care only about the signals, the hard numbers, that it’s trained to calculate a decision on. Your hard-earned reputation in the community, built over decades, will be meaningless to the numbers-driven machine.

So how do you prepare? Scratch that. How do you prepare WITHOUT putting more on your plate?

Your 5-Step Plan to Win Now and Later

You’re slammed, so here’s the fast track to prep for AI tools today and agents tomorrow. Build on what you’re already doing… no overhaul needed.

  1. Stack Reviews Relentlessly: After every job, ask clients to rate you on Google. Aim for 10/week.
    Check out this past article for ideas.
  2. Own Your GBP: Claim it (free). Update services, add 10+ weekly photos, answer all reviews in 24 hours. Post offers there too.
    Easy Mode: Get your marketing company to help with this. They can likely take most of the load off your plate.
  3. Make Your Site AI-Friendly: One page per service, per location (e.g., “Roof Repair in Austin”). Use clear headings, bullets, and schema.org markup.
    Easy Mode: We do this stuff all day, every day. We’ll take care of it so you can get back to doing actual work.
  4. Use Prospect Genius’s AI QuickStart: Built for busy business owners. It delivers:
    • LLMs.txt File: This is the AI version of the old site map. It’s just a special file that tells AI bots where to find the important stuff on your site. It helps make sure you’re actually showing up in AI search results and not getting skipped over.
    • AI-Optimized FAQ Page: We’ll give you a pre-written page with the exact questions AI looks for. Plus, it’s got the techie coding (schema) baked in to make AI trust and understand it better.

    The Result? As we proved last week, our clients are already getting hundreds of page views, every month, from these AI tools. Better still, none of them had to lift a finger because we handled it all.

  5. Test Your Visibility: Ask ChatGPT, “Recommend a [your service] in [your town].” Not listed? Time to get to work or call in the experts!

The Stakes: Leads Today, Survival Tomorrow

AI tools are already steering customers. Agents will soon close the deal, picking pros for them. Nail these steps to dominate both. Prospect Genius’ AI QuickStart can be your quick and easy edge.

Act now! When AI agents start booking, will they call you, or someone else?

 

 

AI Optimization & AI Agent Readiness FAQs


AI tools already research options, compare reviews, and present the top 1–5 local service providers instead of a long top-10 list. AI agents will go further by finding, booking, and paying for services with minimal user input. Because AI agents rely on quantifiable trust signals—not word-of-mouth—local service businesses need strong reviews, a complete Google Business Profile, clearly structured service pages with schema, and robust FAQs to win the AI shortlists.


AI Optimization QuickStart is a low-effort package for busy local service businesses. It implements an LLMs.txt file to guide AI crawlers, builds an AI-optimized FAQ page with embedded schema that answers the exact questions AI tools look for, and aligns your site structure and trust signals. Clients are already seeing hundreds of AI-driven page views per month without adding work to their plates.


LLMs.txt is the AI-era equivalent of a sitemap for language models. It points AI crawlers to your most important pages—service pages, locations, pricing, FAQs, licenses—so AI systems can reliably parse, trust, and surface your business in conversational search and in automated AI agent workflows.


Claim and fully complete Google Business Profile, list every service, maintain accurate hours, add 10+ fresh photos weekly, respond to all reviews within 24 hours, and post offers consistently. These steps strengthen the structured, machine-readable signals AI tools and AI agents use to select providers.


Aim to stack reviews relentlessly—target roughly 10 new Google reviews per week where possible. High average ratings (4.5+), recency, and authenticity are critical. Stale, sparse, or suspect reviews weaken trust signals and can remove your business from AI-generated shortlists.


Create one page per service per location (e.g., “Emergency Plumbing in Dallas” or “Roof Repair in Austin”), use clear headings and bullet points, add schema.org markup for Service, LocalBusiness, and FAQ, and publish concise answers to licensing, response time, pricing, and guarantees. This structure lets AI tools parse offerings and match you confidently to nearby searches.

Hilarious Voice-Over You’re Sure To Enjoy

Last Updated: October 1, 2025

Sound on!

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Recent Posts

Why “Make My Site Better” Is the Wrong Way to Use AI

Don’t Let AI Agents Book Your Competitors’ Jobs Before Yours

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